Applied Researcher I

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VACambridge, MASan Jose, CANew York, NY
Salary: $218,700–$249,600 / yr
Posted: 56 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $230k

This role $234k

$173k most similar roles pay here $295k

This role pays more than 50% of similar roles. Most pay $202,800–$257,212 — the shaded band above. At the midpoint, this role pays about $234k versus about $230k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher I

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Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) joins the AI Foundations team to develop advanced machine learning systems for banking experiences. This role involves collaborating with cross-functional teams of data scientists and engineers to build AI foundation models through every phase of development, including design, training, evaluation, and implementation. The researcher will leverage a technical stack featuring PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to extract insights from large volumes of numeric and textual data. Key responsibilities include conducting high-impact applied research on state-of-the-art methods like self-supervised learning, RLHF, and training optimization. The role focuses on solving complex problems in the banking domain by creating scalable, high-performance AI infrastructure and delivering production-ready models to improve how customers interact with their money through automated, intelligent experiences.

Skills

PyTorch AWS Huggingface Lightning VectorDBs LLM NLP RLHF Self-Supervised Learning Deep Learning Machine Learning Cloud Computing Training Optimization Finetuning Instruction-Tuning Tokenization

What you'll do

Develop AI foundation models through all phases of development including design, training, evaluation, and implementation.
Conduct high-impact applied research to integrate state-of-the-art AI developments into customer experience products.
Analyze large volumes of numeric and textual data using tools like PyTorch, HuggingFace, and VectorDBs.
Translate complex technical research into tangible business goals for cross-functional stakeholders.
Research and evaluate emerging technologies to maintain a competitive edge in AI capabilities.
Build scalable deep learning models for language, images, events, or graphs.
Deliver production-ready code including libraries, platform-level components, and solution-level code.
Own and pursue an independent research agenda by identifying and solving high-impact problems.

What we're looking for

Must have a PhD in a relevant field or an MS with 2 years of experience in Applied Research.
Experience building large deep learning models for language, images, events, or graphs is required.
Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF is required.
Must have hands-on experience developing AI foundation models using open-source tools and cloud computing platforms.
Experience delivering libraries, platform-level code, or solution-level code to existing products is required.
Proven track record of high-quality machine learning ideas, such as first-author publications or significant projects.
Ability to independently own a research agenda and carry out long-running projects autonomously.
Proficiency in using technologies like PyTorch, AWS Ultraclusters, Hugging Face, and VectorDBs is required.

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